How to Use the Cortex XSIAM MCP in AutoGen

Enable agent debate and consensus on security threats with the Cortex XSIAM MCP Server in AutoGen.

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Connect Cortex XSIAM MCP to AutoGen

Create your Vinkius account to connect Cortex XSIAM to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cortex XSIAM with AutoGen

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Claude

Perplexity

Multi-agent security deliberation

Have your agents argue over the results of a `run_xql_query`. One agent might focus on network anomalies while another checks endpoint status, forcing a debate before taking action. This prevents hasty decisions. You get a consensus-driven approach to complex threats.

Automated isolation and verification

Coordinate between agents to perform `isolate_endpoint` on suspicious hosts. Once isolated, a separate agent can trigger `scan_endpoint` to verify the threat. The agents negotiate the entire sequence. You see the debate unfold in the chat history, showing exactly why a host was quarantined.

Collaborative incident triaging

Use `get_incidents` as a shared task list for your agent team. They discuss which incident to investigate first based on severity and available analyst capacity. This mimics a real SOC team. They reach a group decision on the priority of your security queue.

Setup guide

Set up Cortex XSIAM MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Cortex XSIAM tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Cortex XSIAM_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Cortex XSIAM data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Cortex XSIAM_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Cortex XSIAM data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cortex XSIAM. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Cortex XSIAM MCP in AutoGen

You give each agent access to the tools, and they use the provided schema to talk about the data. They can challenge each other's analysis of logs or alerts.

Yes, agents can propose executing a playbook when they agree on a threat. The MCP server processes the request as part of the group's workflow.

The server uses a streaming transport that integrates with AutoGen. You see the tool output as it happens during the agent discussion.

You pass the tool list into the assistant agent constructor. The adapter handles the conversion, so the agents understand how to talk to the security platform.

Your credentials are never shared with the agent. The server handles the connection securely, ensuring the agent only interacts with the tools it is permitted to use.

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